Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Florian Heimerl"'
Publikováno v:
PacificVis
Magic lens based focus+context techniques are powerful means for exploring document spatializations. Typically, they only offer additional summarized or abstracted views on focused documents. As a consequence, users might miss important information t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea42479e441e016fc2555c1233054722
https://doi.org/10.1109/tvcg.2019.2895073
https://doi.org/10.1109/tvcg.2019.2895073
Autor:
Alex Endert, Shah Rukh Humayoun, Michael Gleicher, Florian Heimerl, Shenyu Xu, Remco Chang, Dylan Cashman, Cong Liu, Subhajit Das
Most visual analytics systems assume that all foraging for data happens before the analytics process; once analysis begins, the set of data attributes considered is fixed. Such separation of data construction from analysis precludes iteration that ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b445d3b2b573d0ae0757c57a56b7f919
http://arxiv.org/abs/2009.02865
http://arxiv.org/abs/2009.02865
Machine learning practitioners often compare the results of different classifiers to help select, diagnose and tune models. We present Boxer, a system to enable such comparison. Our system facilitates interactive exploration of the experimental resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44e5a265c902e18869368c8d90957838
Autor:
Florian Heimerl, Michael Gleicher
Publikováno v:
Computer Graphics Forum. 37:253-265
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3554f685db83adb340d4ee6248f6db70
https://doi.org/10.1111/cgf.13417
https://doi.org/10.1111/cgf.13417
Publikováno v:
HICSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2aba61ac729a1ab037584b50b74fbab
https://doi.org/10.24251/hicss.2019.190
https://doi.org/10.24251/hicss.2019.190
This paper introduces embComp, a novel approach for comparing two embeddings that capture the similarity between objects, such as word and document embeddings. We survey scenarios where comparing these embedding spaces is useful. From those scenarios
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3930b608bf1758bc319328c6dc231980
Publikováno v:
IEEE Transactions on Multimedia. 18:2149-2160
The analysis of inherent structures of movies plays an important role in studying stylistic devices and specific, content-related questions. Examples are the analysis of personal constellations in movie scenes, dialogue-based content analysis, or the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd8981dc777964486328c435db19fdca
https://doi.org/10.1109/tmm.2016.2614184
https://doi.org/10.1109/tmm.2016.2614184
Publikováno v:
VISIGRAPP (3: IVAPP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a307522e2ec734a8661fa3b4468e8916
https://doi.org/10.5220/0006614902440251
https://doi.org/10.5220/0006614902440251
Autor:
Abigail Mosca, Kendall Park, Subhajit Das, Shah Rukh Humayoun, John Thompson, Florian Heimerl, Michael Gleicher, John Stasko, Bahador Saket, Remco Chang, Alex Endert, Dylan Cashman
Many visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some situations, insights may be less important than the production of an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7029c367c16b97a8890600c7a036724
Publikováno v:
BDVA
Personal networks formed within scientific communities and the collaborations they yield are one of the driving forces behind innovation and new discoveries. Luckily, successful collaboration produces analyzable data points in the form of publication
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bafe51327f15b89235cca0e207522b8
https://doi.org/10.1109/bdva.2017.8114622
https://doi.org/10.1109/bdva.2017.8114622